Triple
T10445124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Fazal |
E246266
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mirzapur |
E31791
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mirzapur | Statement: [Ali Fazal, notableWork, Mirzapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirzapur Context triple: [Ali Fazal, notableWork, Mirzapur]
-
A.
Mirzapur
chosen
Mirzapur is a city in the Indian state of Uttar Pradesh, known for its carpet and brassware industries and its location on the banks of the Ganges River.
-
B.
Badlapur
Badlapur is a rapidly developing suburban city in Maharashtra, India, known for its residential growth and rail connectivity to Mumbai.
-
C.
Chor Bazaari
"Chor Bazaari" is a popular Hindi film song, sung by Sunidhi Chauhan (with Neeraj Shridhar) and known for its upbeat, playful vibe and catchy melody.
-
D.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
E.
Kaithi
Kaithi is a 2019 Tamil-language action thriller film centered on an ex-convict’s overnight mission to save poisoned police officers while evading ruthless criminals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbf81508190a160edea85105d3a |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eeae8788190b63534fa4f942ead |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:16 p.m.